A collection of projects related to Data Science, Data Analytics and Machine Learning

Welcome to my Data Science Portfolio!
I am a researcher and an IT professional with several years of experience working with data. I'm passionate about using data science and machine learning techniques to obtain actionable insights to solve problems and make decisions.
This is a collection of projects I've created, related to Data Science and Machine Learning, for learning purposes as well as a hobby.

Recent Work

Author Identification (NLP)

This project aims to identify authors based on several phrases extracted from some of the books the authors have written. (Created as a submision for a Kaggle competition)

Retail Customer Segmentation (Clustering)

The project aims to identify customers of a retail store, and segment them based on demography, spending patterns and activities such as use of promotions.

Gnomic Analysis of Bacteria

Project aims to classify 10 differnt bacteria species using data from gnomic analysis technique. Conducted as a part of the 2022 Tabular playground serires competition at Kaggle

Explore Product Sales (EDA)

The aim of the project is to conduct exploratory data analysis on the sales of products of a perticular electronics store, througout the year 2019. Data sets are available seperately for each month

Melbourne Housing Price Prediction (Regression)

Project aims to conduct a regression analysis to predict the housing prices. After cleaning the data set and conducting and feature selection, applied Simple Linear Regression with regularization to achieve a 0.13 RMSE. (Created as a submision for a Kaggle Competition)

Using Foursqurea to identify best neighbourhoods in Greater Melbourne to visit (EDA)

Capstone Project for IBM Data Science Professional Certificate.Due to the Covid 19 pandamic small businessses have been effected in the areas of food and entertainment. Since Victoria has now come out of the pandemic, people can now travel around the state and experiance what Melbourne has to offer while helping out the businesses in need. From this project we expect to identify places to visit within the Greater Melbourne area and recommend them to people who wants to visit.

Get In Touch

Please feel free to contact me regarding any inquiries.

  • Address

    Melbourne, VIC 3000
    Australia
  • Email